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Fractal coding of image sequence using extended circular prediction mapping

  • Seoul National University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper proposes a novel algorithm for fractal coding of color image sequence, based on the extended CPM (Circular Prediction Mapping). In the extended CPM, each range block is approximated by a domain block in the adjacent frame, which is of the same size as the range block. Therefore the proposed domain-range mapping is similar to the block matching algorithm in the motion compensation techniques, and we can exploit the temporal correlation in moving image sequence effectively. Also we show that fast decoding is possible, since the decoder requires about 1 multiplication and 3 additions per pixel for each Y, U, V components. The computer simulation results on real image sequences demonstrate that the proposed algorithm provides very promising performance at low bit-rate.

Original languageEnglish
Title of host publication1996 8th European Signal Processing Conference, EUSIPCO 1996
PublisherEuropean Signal Processing Conference, EUSIPCO
ISBN (Electronic)9788886179836
StatePublished - 1996
Event8th European Signal Processing Conference, EUSIPCO 1996 - Trieste, Italy
Duration: 10 Sep 199613 Sep 1996

Publication series

NameEuropean Signal Processing Conference
ISSN (Print)2219-5491

Conference

Conference8th European Signal Processing Conference, EUSIPCO 1996
Country/TerritoryItaly
CityTrieste
Period10/09/9613/09/96

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